Triple
T14974481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soka Gakkai Youth Division |
E373407
|
entity |
| Predicate | supportsCampaign |
P81734
|
FINISHED |
| Object | nuclear abolition campaigns of Soka Gakkai |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: nuclear abolition campaigns of Soka Gakkai | Statement: [Soka Gakkai Youth Division, supportsCampaign, nuclear abolition campaigns of Soka Gakkai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCampaign Context triple: [Soka Gakkai Youth Division, supportsCampaign, nuclear abolition campaigns of Soka Gakkai]
-
A.
supportedCampaignOf
chosen
Indicates that one entity actively backed, promoted, or provided assistance to the campaign associated with another entity.
-
B.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
-
C.
supportedCouncil
Indicates that an entity provided backing, endorsement, or assistance to a council.
-
D.
supportsOrganization
Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
-
E.
supportProgram
Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.